Evidence map›Paper›PMID 37863356›Full record

ArticleJournal of substance use and addiction treatment2024

Stakeholder perspectives on a telemedicine referral and coordination model to expand medication treatment for opioid use disorder in rural primary care clinics.

Allison J Ober, Alex R Dopp, Sarah E Clingan, Megan E Curtis, Chunqing Lin, Stacy Calhoun, Sherry Larkins, Megan Black, Maria Hanano, Katie P Osterhage and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 1 country.

Allison J OberRAND Corporation, Santa Monica, CA, USA. Electronic address: ober@rand.org.
Alex R DoppRAND Corporation, Santa Monica, CA, USA.
Sarah E ClinganDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Megan E CurtisDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Chunqing LinSemel Institute for Neuroscience and Human Behavior, Center for Community Health, University of California at Los Angeles, CA, USA.
Stacy CalhounDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Sherry LarkinsDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Megan BlackDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Maria HananoDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Katie P OsterhageDepartment of Family Medicine, University of Washington, Seattle, WA, USA.
Laura-Mae BaldwinDepartment of Family Medicine, University of Washington, Seattle, WA, USA.
Andrew J SaxonVeterans Affairs Puget Sound Health Care System, USA; Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Emily G HichbornCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA.
Lisa A MarschCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA.
Larissa J MooneyDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Yih-Ing HserDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Neurobehavioral Systems · USDartmouth College · USRAND Corporation · USUniversity of California, Los Angeles · USUniversity of Washington · USVA Puget Sound Health Care System · US

Funding

UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Sung-Jae Lee · 1997 to 2026
$53.5M
Project-002UG1DA040309 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2015 to 2026
$37.9M
Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Clinical Trials Network: Pacific Northwest Node (CTN-0082, -0131, -0139 and dissemination library)UG1DA013714 · NIDA · UNIVERSITY OF WASHINGTON · PI Mary Akiko Hatch, John M. Roll · 2015 to 2026
$19.8M
Greater Southern California Node of the Clinical Trials NetworkUG1DA049435 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YIH-ING HSER · 2019 to 2026
$16.7M
NIDA NIH HHS P30 DA029926NIDA NIH HHS UG1 DA013714NIDA NIH HHS UG1 DA040309NIDA NIH HHS UG1 DA049435NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

introductionOpioid overdose deaths are increasing rapidly in the United States. Medications for opioid use disorder (MOUD) are effective and can be delivered in primary care, but uptake has been limited in rural communities. Referral to and coordination with an external telemedicine (TM) vendor by rural primary care clinics for MOUD (TM-MOUD) may increase MOUD access for rural patients, but we know little about perspectives on this model among key stakeholders. As part of a TM-MOUD feasibility study, we explored TM-MOUD acceptability and feasibility among personnel and patients from seven rural primary care clinics and a TM-MOUD vendor.

methodsWe conducted virtual interviews or focus groups with clinic administrators (n = 7 interviews), clinic primary care and behavioral health providers (8 groups, n = 30), other clinic staff (9 groups, n = 37), patients receiving MOUD (n = 16 interviews), TM-MOUD vendor staff (n = 4 interviews), and vendor-affiliated behavioral health and prescribing providers (n = 17 interviews). We asked about experiences with and acceptability of MOUD (primarily buprenorphine) and telemedicine (TM) and a TM-MOUD referral and coordination model. We conducted content analysis to identify themes and participants quantitatively rated acceptability of TM-MOUD elements on a 4-item scale.

resultsPerceived benefits of vendor-based TM-MOUD included reduced logistical barriers, more privacy and less stigma, and access to services not available locally (e.g., counseling, pain management). Barriers included lack of internet or poor connectivity in patients' homes, limited communication and trust between TM-MOUD and clinic providers, and questions about the value to the clinic of TM-MOUD referral to external vendor. Acceptability ratings for TM-MOUD were generally high; they were lowest among frontline staff.

conclusionsRural primary care clinic personnel, TM-MOUD vendor personnel, and patients generally perceived referral from primary care to a TM-MOUD vendor to hold potential for increasing access to MOUD in rural communities. Increasing TM-MOUD uptake requires buy-in and understanding among staff of the TM-MOUD workflow, TM services offered, requirements for patients, advantages over clinic-based or TM services from clinic providers, and identification of appropriate patients. Poverty, along with patient hesitation to initiate treatment, creates substantial barriers to MOUD treatment generally; insufficient internet availability creates a substantial barrier to TM-MOUD.

Indexed as

Opiate OverdoseOpioid-Related DisordersAdministrative PersonnelHumansPrimary Health CareRural PopulationImplementationMedication for opioid use disorder (MOUD)Opioid use disorder (OUD)Primary careRural healthTelemedicine (TM)

Identifiers

PMID37863356
PMCPMC11441624
OpenAlexW4387745920

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.